The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads

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ACL ARR 2025 May Submission3299 Authors

19 May 2025 (modified: 03 Jul 2025)ACL ARR 2025 May SubmissionEveryoneRevisionsBibTeXCC BY 4.0
Abstract: Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of persuasiveness (judged by models) of ads that are identical except for gender/race of the people portrayed. We also experiment with a technique to target ads for specific countries.
Paper Type: Short
Research Area: Multimodality and Language Grounding to Vision, Robotics and Beyond
Research Area Keywords: Persuasion, Bias, Advertisement Image Generation
Contribution Types: Model analysis & interpretability
Languages Studied: English
Submission Number: 3299